Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …

Traffic congestion is a global pressing issue but can be mitigated via effective traffic signal
control schemes. In this paper, based on a cell transmission model we coordinate the control …

This paper studies the traffic state estimation problem at signalized intersections with low
penetration rate vehicle trajectory data. While many existing studies have proposed different …

Trajectory data mining can help us mine valuable information such as human activity
patterns and movement characteristics, and provide data support for transportation planning …

Traffic signal re-timing is one of the most cost-effective methods for reducing congestion and
energy consumption in urban areas based on the existing road infrastructure. However, high …

Traffic congestion has long become a major concern in many cities in Canada and around
the world. It has been estimated that the annual total economic loss due to traffic congestion …

Applying sophisticated optimization methods to control problems in various systems offers a
structured approach for achieving system efficiency and reliability, while ensuring the …

Traffic signals are a crucial component of urban traffic networks, and signal phase and
timing (SPaT) information serves as an essential input for various applications, including …